Tushar Krishna

271 papers A* 44A 21B 19C 3Misc 3Journal 129Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Boosting Scalability and Performance: Macro Placement for Flexible 3D-Stacked ML Accelerators. ASP-DAC Jiawei Hu, Canlin Zhang, Pruek Vanna-Iampikul, Tushar Krishna, Sung Kyu Lim
2026	—	`conf`	Compositional AI Beyond LLMs: System Implications of Neuro-Symbolic-Probabilistic Architectures. ASPLOS (1) Zishen Wan, Hanchen Yang, Jiayi Qian, Ritik Raj, Joongun Park, Chenyu Wang, Arijit Raychowdhury, Tushar Krishna
2026	A*	`conf`	Leveraging ASIC AI Chips for Homomorphic Encryption. HPCA Jianming Tong, Tianhao Huang, Jingtian Dang, Leo de Castro, Anirudh Itagi, Anupam Golder, Asra Ali, Jeremy Kun, Jevin Jiang, Arvind, G. Edward Suh, Tushar Krishna
2026	J	`jnl`	Leveraging ASIC AI Chips for Homomorphic Encryption. IACR Cryptol. ePrint Arch. Jianming Tong, Tianhao Huang, Jingtian Dang, Leo de Castro, Anirudh Itagi, Anupam Golder, Asra Ali, Jeremy Kun, Jevin Jiang, Arvind Mithal, G. Edward Suh, Tushar Krishna
2026	J	`jnl`	MINISA: Minimal Instruction Set Architecture for Next-gen Reconfigurable Inference Accelerator. CoRR Jianming Tong, Devansh Jain, Yujie Li, Charith Mendis, Tushar Krishna
2026	A*	`conf`	REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence. HPCA Zishen Wan, Che-Kai Liu, Jiayi Qian, Hanchen Yang, Arijit Raychowdhury, Tushar Krishna
2026	J	`jnl`	REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence. CoRR Zishen Wan, Che-Kai Liu, Jiayi Qian, Hanchen Yang, Arijit Raychowdhury, Tushar Krishna
2026	J	`jnl`	SCALE-Sim TPU: Validating and Extending SCALE-Sim for TPUs. CoRR Jingtian Dang, Ritik Raj, Changhai Man, Jianming Tong, Tushar Krishna
2026	A*	`conf`	SCALE: Tackling Communication Bottlenecks in Confidential Distributed Machine Learning. HPCA Joongun Park, Yongqin Wang, Huan Xu, Hanjiang Wu, Mengyuan Li, Tushar Krishna
2026	J	`jnl`	ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System. CoRR Hao Kang, Ziyang Li, Xinyu Yang, Weili Xu, Yinfang Chen, Junxiong Wang, Beidi Chen, Tushar Krishna, Chenfeng Xu, Simran Arora
2025	J	`jnl`	A CPU-Centric Perspective on Agentic AI. CoRR Ritik Raj, Hong Wang, Tushar Krishna
2025	—	`conf`	AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution. MLSys Zhiqiang Xie, Hao Kang, Ying Sheng, Tushar Krishna, Kayvon Fatahalian, Christos Kozyrakis
2025	A	`conf`	AIRCHITECT v2: Learning the Hardware Accelerator Design Space Through Unified Representations. DATE Jamin Seo, Akshat Ramachandran, Yu-Chuan Chuang, Anirudh Itagi, Tushar Krishna
2025	J	`jnl`	AIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified Representations. CoRR Jamin Seo, Akshat Ramachandran, Yu-Chuan Chuang, Anirudh Itagi, Tushar Krishna
2025	A	`conf`	Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator. ISLPED Akshat Ramachandran, Souvik Kundu, Arnab Raha, Shamik Kundu, Deepak K. Mathaikutty, Tushar Krishna
2025	J	`jnl`	Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator. CoRR Akshat Ramachandran, Souvik Kundu, Arnab Raha, Shamik Kundu, Deepak A. Mathaikutty, Tushar Krishna
2025	A	`conf`	Axon: A Novel Systolic Array Architecture for Improved Run Time and Energy Efficient GeMM and Conv Operation with On-Chip im2col. DATE Md Mizanur Rahaman Nayan, Ritik Raj, Shaik Gouse Basha, Tushar Krishna, Azad J. Naeemi
2025	J	`jnl`	Axon: A novel systolic array architecture for improved run time and energy efficient GeMM and Conv operation with on-chip im2col. CoRR Md Mizanur Rahaman Nayan, Ritik Raj, Shaik Gouse Basha, Tushar Krishna, Azad J. Naeemi
2025	J	`jnl`	COSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems. CoRR Aditi Raju, Jared Ni, William Won, Changhai Man, Srivatsan Krishnan, Srinivas Sridharan, Amir Yazdanbakhsh, Tushar Krishna, Vijay Janapa Reddi
2025	A	`conf`	Cello: Co-Designing Schedule and Hybrid Implicit/Explicit Buffer for Complex Tensor Reuse. IPDPS Raveesh Garg, Michael Pellauer, Sivasankaran Rajamanickam, Tushar Krishna
2025	A*	`conf`	Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective. MICRO Seokjin Go, Joongun Park, Spandan More, Hanjiang Wu, Irene Wang, Aaron Jezghani, Tushar Krishna, Divya Mahajan
2025	J	`jnl`	Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective. CoRR Seokjin Go, Joongun Park, Spandan More, Hanjiang Wu, Irene Wang, Aaron Jezghani, Tushar Krishna, Divya Mahajan
2025	A*	`conf`	CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design. HPCA Zishen Wan, Hanchen Yang, Ritik Raj, Che-Kai Liu, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna
2025	J	`jnl`	CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design. CoRR Zishen Wan, Hanchen Yang, Ritik Raj, Che-Kai Liu, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna
2025	J	`jnl`	Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration. CoRR Shuting Du, Mohamed Ibrahim, Zishen Wan, Luqi Zheng, Boheng Zhao, Zhenkun Fan, Che-Kai Liu, Tushar Krishna, Arijit Raychowdhury, Haitong Li
2025	—	`conf`	Efficient Processing of Neuro-Symbolic AI: A Tutorial and Cross-Layer Co-Design Case Study. NeuS Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Arijit Raychowdhury, Tushar Krishna
2025	—	`conf`	Enabling Unstructured Sparse Acceleration on Structured Sparse Accelerators. MLSys Geonhwa Jeong, Po-An Tsai, Abhimanyu Rajeshkumar Bambhaniya, Stephen W. Keckler, Tushar Krishna
2025	B	`conf`	Exploring Constrained Dataflow Accelerators for Real-Time Multi-Task Multi-Model Ml Workloads. ISPASS Jamin Seo, Jianming Tong, Tushar Krishna, Hyoukjun Kwon
2025	A*	`conf`	FRED: A Wafer-scale Fabric for 3D Parallel DNN Training. ISCA Saeed Rashidi, William Won, Sudarshan Srinivasan, Puneet Gupta, Tushar Krishna
2025	—	`conf`	FlexInfer: Flexible LLM Inference with CPU Computations. MLSys Seonjin Na, Geonhwa Jeong, Byung Hoon Ahn, Aaron Jezghani, Jeffrey Young, Christopher J. Hughes, Tushar Krishna, Hyesoon Kim
2025	B	`conf`	Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. ISPASS Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi
2025	J	`jnl`	Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. CoRR Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Katie Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi
2025	J	`jnl`	HARP: A Taxonomy for Heterogeneous and Hierarchical Processors for Mixed-reuse Workloads. CoRR Raveesh Garg, Michael Pellauer, Tushar Krishna
2025	A*	`conf`	LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation. ICLR Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas, Ying Zhang, Tushar Krishna, Pan Li
2025	J	`jnl`	Leveraging ASIC AI Chips for Homomorphic Encryption. CoRR Jianming Tong, Tianhao Huang, Leo de Castro, Anirudh Itagi, Jingtian Dang, Anupam Golder, Asra Ali, Jevin Jiang, Arvind, G. Edward Suh, Tushar Krishna
2025	J	`jnl`	MCMComm: Hardware-Software Co-Optimization for End-to-End Communication in Multi-Chip-Modules. CoRR Ritik Raj, Shengjie Lin, William Won, Tushar Krishna
2025	A*	`conf`	MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization. ISCA Akshat Ramachandran, Souvik Kundu, Tushar Krishna
2025	A*	`conf`	NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI. DAC Hanchen Yang, Zishen Wan, Ritik Raj, Joongun Park, Ziwei Li, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna
2025	J	`jnl`	NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI. CoRR Hanchen Yang, Zishen Wan, Ritik Raj, Joongun Park, Ziwei Li, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna
2025	J	`jnl`	OckBench: Measuring the Efficiency of LLM Reasoning. CoRR Zheng Du, Hao Kang, Song Han, Tushar Krishna, Ligeng Zhu
2025	J	`jnl`	OneDSE: A Unified Microprocessor Metric Prediction and Design Space Exploration Framework. CoRR Ritik Raj, Akshat Ramachandran, Jeff Nye, Shashank Nemawarkar, Tushar Krishna
2025	C	`conf`	Optimizing Sparse/Dense VEGETA Accelerator Performance with Microscaling Quantization. ISCAS Kazi Barria Nine, Connor Talley, Ajay Sharma Mandadi, Tushar Krishna, Arijit Raychowdhury
2025	J	`jnl`	OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models. CoRR Akshat Ramachandran, Mingyu Lee, Huan Xu, Souvik Kundu, Tushar Krishna
2025	—	`conf`	Progressive Gradient Flow for Robust N:M Sparsity Training in Transformers. CPAL Abhimanyu Rajeshkumar Bambhaniya, Amir Yazdanbakhsh, Suvinay Subramanian, Sheng-Chun Kao, Shivani Agrawal, Utku Evci, Tushar Krishna
2025	J	`jnl`	QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture. CoRR Shvetank Prakash, Andrew Cheng, Arya Tschand, Mark Mazumder, Varun Gohil, Jeffrey Jian Ma, Jason Yik, Zishen Wan, Jessica Quaye, Elisavet Lydia Alvanaki, Avinash Kumar, Chandrashis Mazumdar, Tuhin Khare, Alexander Ingare, Ikechukwu Uchendu, Radhika Ghosal, Abhishek Tyagi, Chenyu Wang, Andrea Mattia Garavagno, Sarah Gu, Alice Guo, Grace Hur, Luca P. Carloni, Tushar Krishna, Ankita Nayak, Amir Yazdanbakhsh, Vijay Janapa Reddi
2025	—	`conf`	ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents. ASPLOS (2) Zishen Wan, Yuhang Du, Mohamed Ibrahim, Jiayi Qian, Jason Jabbour, Yang Katie Zhao, Tushar Krishna, Arijit Raychowdhury, Vijay Janapa Reddi
2025	B	`conf`	SCALE-Sim V3: a Modular Cycle-Accurate Systolic Accelerator Simulator for End-To-End System Analysis. ISPASS Ritik Raj, Sarbartha Banerjee, Nikhil Chandra, Zishen Wan, Jianming Tong, Ananda Samajdar, Tushar Krishna
2025	J	`jnl`	SCALE-Sim v3: A modular cycle-accurate systolic accelerator simulator for end-to-end system analysis. CoRR Ritik Raj, Sarbartha Banerjee, Nikhil Chandra, Zishen Wan, Jianming Tong, Ananda Samajdar, Tushar Krishna
2025	J	`jnl`	STAGE: A Symbolic Tensor grAph GEnerator for distributed AI system co-design. CoRR Changhai Man, Joongun Park, Hanjiang Wu, Huan Xu, Srinivas Sridharan, Tushar Krishna
2025	J	`jnl`	Slm-mux: Orchestrating small language models for reasoning. CoRR Chenyu Wang, Zishen Wan, Hao Kang, Emma Chen, Zhiqiang Xie, Tushar Krishna, Vijay Janapa Reddi, Yilun Du
2025	—	`conf`	SquareLoop: Explore Optimal Authentication Block Strategy for ML. HASP@MICRO Jan Strzeszynski, Jianming Tong, Kyungmi Lee, Nathan Xiong, Angshuman Parashar, Joel S. Emer, Tushar Krishna, Mengjia Yan
2025	J	`jnl`	ThinKV: Thought-Adaptive KV Cache Compression for Efficient Reasoning Models. CoRR Akshat Ramachandran, Marina Neseem, Charbel Sakr, Rangharajan Venkatesan, Brucek Khailany, Tushar Krishna
2025	J	`jnl`	Toward a Standardized Representation for Deep Learning Collective Algorithms. IEEE Micro Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna
2025	J	`jnl`	Towards Easy and Realistic Network Infrastructure Testing for Large-scale Machine Learning. CoRR Jinsun Yoo, ChonLam Lao, Lianjie Cao, Bob Lantz, Minlan Yu, Tushar Krishna, Puneet Sharma
2025	—	`conf`	TurboAttention: Efficient attention approximation for high throughputs llm. MLSys Hao Kang, Srikant Bharadwaj, James Hensman, Tushar Krishna, Victor Rühle, Saravan Rajmohan
2025	J	`jnl`	Understanding and Optimizing Multi-Stage AI Inference Pipelines. CoRR Abhimanyu Rajeshkumar Bambhaniya, Hanjiang Wu, Suvinay Subramanian, Sudarshan Srinivasan, Souvik Kundu, Amir Yazdanbakhsh, Midhilesh Elavazhagan, Madhu Kumar, Tushar Krishna
2025	J	`jnl`	Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs. CoRR Hao Kang, Qingru Zhang, Han Cai, Weiyuan Xu, Tushar Krishna, Yilun Du, Tsachy Weissman
2024	J	`jnl`	AI Metropolis: Scaling Large Language Model-based Multi-Agent Simulation with Out-of-order Execution. CoRR Zhiqiang Xie, Hao Kang, Ying Sheng, Tushar Krishna, Kayvon Fatahalian, Christos Kozyrakis
2024	J	`jnl`	Abstracting Sparse DNN Acceleration via Structured Sparse Tensor Decomposition. CoRR Geonhwa Jeong, Po-An Tsai, Abhimanyu Rajeshkumar Bambhaniya, Stephen W. Keckler, Tushar Krishna
2024	—	`conf`	Accurate Low-Degree Polynomial Approximation of Non-Polynomial Operators for Fast Private Inference in Homomorphic Encryption. MLSys Jingtian Dang, Jianming Tong, Anupam Golder, Cong Hao, Arijit Raychowdhury, Tushar Krishna
2024	J	`jnl`	Accurate Low-Degree Polynomial Approximation of Non-polynomial Operators for Fast Private Inference in Homomorphic Encryption. CoRR Jianming Tong, Jingtian Dang, Anupam Golder, Callie Hao, Arijit Raychowdhury, Tushar Krishna
2024	A*	`conf`	Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. DAC Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna
2024	J	`jnl`	Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. CoRR Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John Gustafson, Tushar Krishna
2024	J	`jnl`	CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs. CoRR Akshat Ramachandran, Souvik Kundu, Tushar Krishna
2024	—	`conf`	CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-training Quantization of ViTs. ECCV (67) Akshat Ramachandran, Souvik Kundu, Tushar Krishna
2024	J	`jnl`	Demystifying Platform Requirements for Diverse LLM Inference Use Cases. CoRR Abhimanyu Bambhaniya, Ritik Raj, Geonhwa Jeong, Souvik Kundu, Sudarshan Srinivasan, Midhilesh Elavazhagan, Madhu Kumar, Tushar Krishna
2024	—	`conf`	Enhancing Scalability and Performance in Influence Maximization with Optimized Parallel Processing. SC Workshops Hanjiang Wu, Huan Xu, Joongun Park, Jesmin Jahan Tithi, Fabio Checconi, Jordi Wolfson-Pou, Fabrizio Petrini, Tushar Krishna
2024	J	`jnl`	Enhancing Scalability and Performance in Influence Maximization with Optimized Parallel Processing. CoRR Hanjiang Wu, Huan Xu, Joongun Park, Jesmin Jahan Tithi, Fabio Checconi, Jordi Wolfson-Pou, Fabrizio Petrini, Tushar Krishna
2024	A*	`conf`	FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching. ISCA Jianming Tong, Anirudh Itagi, Prasanth Chatarasi, Tushar Krishna
2024	J	`jnl`	FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching. CoRR Jianming Tong, Anirudh Itagi, Prasanth Chatarasi, Tushar Krishna
2024	J	`jnl`	FRED: Flexible REduction-Distribution Interconnect and Communication Implementation for Wafer-Scale Distributed Training of DNN Models. CoRR Saeed Rashidi, William Won, Sudarshan Srinivasan, Puneet Gupta, Tushar Krishna
2024	—	`conf`	GEAR: An Efficient Error Reduction Framework for KV Cache Compression in LLM Inference. ENLSP Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao
2024	J	`jnl`	GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM. CoRR Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao
2024	A	`conf`	H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. DATE Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna, Arijit Raychowdhury
2024	J	`jnl`	H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. CoRR Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna, Arijit Raychowdhury
2024	B	`conf`	LIBRA: Enabling Workload-Aware Multi-Dimensional Network Topology Optimization for Distributed Training of Large AI Models. ISPASS William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna
2024	J	`jnl`	LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation. CoRR Mufei Li, Viraj Shitole, Eli Chien, Changhai Man, Zhaodong Wang, Srinivas Sridharan, Ying Zhang, Tushar Krishna, Pan Li
2024	B	`conf`	Leveraging Memory Expansion to Accelerate Large-Scale DL Training. ISPASS Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Bambhaniya, Tushar Krishna, Alexandros Daglis
2024	J	`jnl`	MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization. CoRR Akshat Ramachandran, Souvik Kundu, Tushar Krishna
2024	J	`jnl`	PipeOrgan: Efficient Inter-operation Pipelining with Flexible Spatial Organization and Interconnects. CoRR Raveesh Garg, Hyoukjun Kwon, Eric Qin, Yu-Hsin Chen, Tushar Krishna, Liangzhen Lai
2024	J	`jnl`	Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers. CoRR Abhimanyu Rajeshkumar Bambhaniya, Amir Yazdanbakhsh, Suvinay Subramanian, Sheng-Chun Kao, Shivani Agrawal, Utku Evci, Tushar Krishna
2024	J	`jnl`	Remembering Arvind. IEEE Des. Test Tushar Krishna
2024	J	`jnl`	SDQ: Sparse Decomposed Quantization for LLM Inference. CoRR Geonhwa Jeong, Po-An Tsai, Stephen W. Keckler, Tushar Krishna
2024	Misc	`conf`	Special Session: Neuro-Symbolic Architecture Meets Large Language Models: A Memory-Centric Perspective. CODES+ISSS Mohamed Ibrahim, Zishen Wan, Haitong Li, Priyadarshini Panda, Tushar Krishna, Pentti Kanerva, Yiran Chen, Arijit Raychowdhury
2024	A*	`conf`	TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning. MICRO William Won, Midhilesh Elavazhagan, Sudarshan Srinivasan, Swati Gupta, Tushar Krishna
2024	A	`conf`	Thinking and Moving: An Efficient Computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI Systems. ICCAD Zishen Wan, Yuhang Du, Mohamed Ibrahim, Yang Katie Zhao, Tushar Krishna, Arijit Raychowdhury
2024	B	`conf`	Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. ISPASS Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Ananda Samajdar, Yingyan Celine Lin, Tushar Krishna, Arijit Raychowdhury
2024	J	`jnl`	Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI. CoRR Zishen Wan, Che-Kai Liu, Hanchen Yang, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Tushar Krishna, Yingyan Lin, Arijit Raychowdhury
2024	J	`jnl`	Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture. CoRR Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Sixu Li, Youbin Kim, Ananda Samajdar, Yingyan Celine Lin, Mohamed Ibrahim, Jan M. Rabaey, Tushar Krishna, Arijit Raychowdhury
2024	J	`jnl`	Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture. IEEE Trans. Circuits Syst. Artif. Intell. Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Sixu Li, Youbin Kim, Ananda Samajdar, Yingyan Lin, Mohamed Ibrahim, Jan M. Rabaey, Tushar Krishna, Arijit Raychowdhury
2024	Misc	`conf`	Towards a Standardized Representation for Deep Learning Collective Algorithms. HOTI Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna
2024	J	`jnl`	Towards a Standardized Representation for Deep Learning Collective Algorithms. CoRR Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna
2024	J	`jnl`	TurboAttention: Efficient Attention Approximation For High Throughputs LLMs. CoRR Hao Kang, Srikant Bharadwaj, James Hensman, Tushar Krishna, Victor Rühle, Saravan Rajmohan
2024	—	`conf`	Understanding Performance Implications of LLM Inference on CPUs. IISWC Seonjin Na, Geonhwa Jeong, Byung Hoon Ahn, Jeffrey Young, Tushar Krishna, Hyesoon Kim
2023	A	`conf`	AIrchitect: Automating Hardware Architecture and Mapping Optimization. DATE Ananda Samajdar, Jan Moritz Joseph, Tushar Krishna
2023	B	`conf`	ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. ISPASS William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna
2023	J	`jnl`	ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. CoRR William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna
2023	J	`jnl`	Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces. CoRR Srinivas Sridharan, Taekyung Heo, Louis Feng, Zhaodong Wang, Matt Bergeron, Wenyin Fu, Shengbao Zheng, Brian Coutinho, Saeed Rashidi, Changhai Man, Tushar Krishna
2023	B	`conf`	Characterization of Data Compression in Datacenters. ISPASS Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna
2023	A*	`conf`	Efficient Distributed Inference of Deep Neural Networks via Restructuring and Pruning. AAAI Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna
2023	J	`jnl`	Exploiting Inter-Operation Data Reuse in Scientific Applications using GOGETA. CoRR Raveesh Garg, Michael Pellauer, Sivasankaran Rajamanickam, Tushar Krishna
2023	—	`conf`	FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks. ASPLOS (2) Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Amir Yazdanbakhsh, Tushar Krishna
2023	J	`jnl`	Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing. CoRR Francisco Muñoz-Martínez, Raveesh Garg, José L. Abellán, Michael Pellauer, Manuel E. Acacio, Tushar Krishna
2023	—	`conf`	Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing. ASPLOS (3) Francisco Muñoz-Martínez, Raveesh Garg, Michael Pellauer, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2023	J	`jnl`	Hardware-Software Co-Design for Real-Time Latency-Accuracy Navigation in Tiny Machine Learning Applications. IEEE Micro Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Bambhaniya, Tushar Krishna, Alexey Tumanov
2023	J	`jnl`	Introduction to the Special Issue on Next-Generation On-Chip and Off-Chip Communication Architectures for Edge, Cloud and HPC. ACM J. Emerg. Technol. Comput. Syst. John Kim, Tushar Krishna
2023	J	`jnl`	Mitigating Timing-Based NoC Side-Channel Attacks With LLC Remapping. IEEE Comput. Archit. Lett. Anurag Kar, Xueyang Liu, Yonghae Kim, Gururaj Saileshwar, Hyesoon Kim, Tushar Krishna
2023	J	`jnl`	On Continuing DNN Accelerator Architecture Scaling Using Tightly Coupled Compute-on-Memory 3-D ICs. IEEE Trans. Very Large Scale Integr. Syst. Gauthaman Murali, Aditya Iyer, Lingjun Zhu, Jianming Tong, Francisco Muñoz-Martínez, Srivatsa Rangachar Srinivasa, Tanay Karnik, Tushar Krishna, Sung Kyu Lim
2023	J	`jnl`	Perspectives on AI Architectures and Co-design for Earth System Predictability. CoRR Maruti K. Mudunuru, James A. Ang, Mahantesh Halappanavar, Simon D. Hammond, Maya B. Gokhale, James C. Hoe, Tushar Krishna, Sarat Sreepathi, Matthew R. Norman, Ivy Bo Peng, Philip W. Jones
2023	A	`conf`	Proteus : HLS-based NoC Generator and Simulator. DATE Abhimanyu Rajeshkumar Bambhaniya, Yangyu Chen, Anshuman, Rohan Banerjee, Tushar Krishna
2023	—	`conf`	SNATCH: Stealing Neural Network Architecture from ML Accelerator in Intelligent Sensors. SENSORS Sudarshan Sharma, Uday Kamal, Jianming Tong, Tushar Krishna, Saibal Mukhopadhyay
2023	J	`jnl`	SPOCK: Reverse Packet Traversal for Deadlock Recovery. IEEE Des. Test Zeyu Chen, Ankur Bindal, Vaidehi Garg, Tushar Krishna
2023	J	`jnl`	STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators. ACM J. Emerg. Technol. Comput. Syst. Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2023	—	`conf`	Subgraph Stationary Hardware-Software Inference Co-Design. MLSys Payman Behnam, Alexey Tumanov, Tushar Krishna, Pranav Gadikar, Yangyu Chen, Jianming Tong, Yue Pan, Abhimanyu Rajeshkumar Bambhaniya, Alind Khare
2023	J	`jnl`	Subgraph Stationary Hardware-Software Inference Co-Design. CoRR Payman Behnam, Jianming Tong, Alind Khare, Yangyu Chen, Yue Pan, Pranav Gadikar, Abhimanyu Rajeshkumar Bambhaniya, Tushar Krishna, Alexey Tumanov
2023	J	`jnl`	TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Training. CoRR William Won, Midhilesh Elavazhagan, Sudarshan Srinivasan, Ajaya Durg, Swati Gupta, Tushar Krishna
2023	J	`jnl`	TNT: A Modular Approach to Traversing Physically Heterogeneous NOCs at Bare-wire Latency. ACM Trans. Archit. Code Optim. Gokul Subramanian Ravi, Tushar Krishna, Mikko H. Lipasti
2023	A*	`conf`	VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. HPCA Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
2023	J	`jnl`	VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. CoRR Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
2023	—	`conf`	XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. MLSys Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
2022	—	`conf`	A Formalism of DNN Accelerator Flexibility. SIGMETRICS (Abstracts) Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022	J	`jnl`	A Formalism of DNN Accelerator Flexibility. CoRR Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022	J	`jnl`	A Formalism of DNN Accelerator Flexibility. Proc. ACM Meas. Anal. Comput. Syst. Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022	J	`jnl`	COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training. CoRR Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Rajeshkumar Bambhaniya, Tushar Krishna, Alexandros Daglis
2022	J	`jnl`	DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators. CoRR Sheng-Chun Kao, Xiaoyu Huang, Tushar Krishna
2022	—	`conf`	Demystifying Map Space Exploration for NPUs. IISWC Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
2022	J	`jnl`	Demystifying Map Space Exploration for NPUs. CoRR Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
2022	A	`conf`	DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators. DATE Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022	J	`jnl`	DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators. CoRR Sheng-Chun Kao, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022	J	`jnl`	Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity. CoRR Eric Qin, Raveesh Garg, Abhimanyu Bambhaniya, Michael Pellauer, Angshuman Parashar, Sivasankaran Rajamanickam, Cong Hao, Tushar Krishna
2022	J	`jnl`	Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. IEEE Trans. Parallel Distributed Syst. Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
2022	J	`jnl`	Guest Editorial: IEEE TC Special Issue: Hardware Acceleration of Machine Learning. IEEE Trans. Computers Michael Ferdman, Jorge Albericio, Tushar Krishna, Peter A. Milder
2022	Misc	`conf`	Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. HOTI Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna
2022	J	`jnl`	Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. CoRR Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna
2022	A*	`conf`	MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores. HPCA Sheng-Chun Kao, Tushar Krishna
2022	J	`jnl`	Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators. ACM Trans. Archit. Code Optim. Prasanth Chatarasi, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Tushar Krishna, Vivek Sarkar
2022	A	`conf`	MicroEdge: a multi-tenant edge cluster system architecture for scalable camera processing. Middleware Difei Cao, Jinsun Yoo, Zhuangdi Xu, Enrique Saurez, Harshit Gupta, Tushar Krishna, Umakishore Ramachandran
2022	A*	`conf`	Self adaptive reconfigurable arrays (SARA): learning flexible GEMM accelerator configuration and mapping-space using ML. DAC Ananda Samajdar, Eric Qin, Michael Pellauer, Tushar Krishna
2022	A*	`conf`	Stay in your Lane: A NoC with Low-overhead Multi-packet Bypassing. HPCA Hossein Farrokhbakht, Paul V. Gratz, Tushar Krishna, Joshua San Miguel, Natalie D. Enright Jerger
2022	A*	`conf`	Themis: a network bandwidth-aware collective scheduling policy for distributed training of DL models. ISCA Saeed Rashidi, William Won, Sudarshan Srinivasan, Srinivas Sridharan, Tushar Krishna
2022	J	`jnl`	Training Recipe for N: M Structured Sparsity with Decaying Pruning Mask. CoRR Sheng-Chun Kao, Amir Yazdanbakhsh, Suvinay Subramanian, Shivani Agrawal, Utku Evci, Tushar Krishna
2022	B	`conf`	Understanding Data Compression in Warehouse-Scale Datacenter Services. ISPASS Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna
2022	A	`conf`	Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators. IPDPS Raveesh Garg, Eric Qin, Francisco Muñoz-Martínez, Robert Guirado, Akshay Jain, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna
2022	J	`jnl`	XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. CoRR Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
2021	J	`jnl`	A Taxonomy for Classification and Comparison of Dataflows for GNN Accelerators. CoRR Raveesh Garg, Eric Qin, Francisco Muñoz-Martínez, Robert Guirado, Akshay Jain, Sergi Abadal, José L. Abellán, Manuel E. Acacio, Eduard Alarcón, Sivasankaran Rajamanickam, Tushar Krishna
2021	—	`conf`	A novel network fabric for efficient spatio-temporal reduction in flexible DNN accelerators. NOCS Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2021	J	`jnl`	AIRCHITECT: Learning Custom Architecture Design and Mapping Space. CoRR Ananda Samajdar, Jan Moritz Joseph, Matthew Denton, Tushar Krishna
2021	J	`jnl`	ATTACC the Quadratic Bottleneck of Attention Layers. CoRR Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Tushar Krishna
2021	—	`conf`	Architecture, Dataflow and Physical Design Implications of 3D-ICs for DNN-Accelerators. ISQED Jan Moritz Joseph, Ananda Samajdar, Lingjun Zhu, Rainer Leupers, Sung Kyu Lim, Thilo Pionteck, Tushar Krishna
2021	—	`conf`	Bridging the Frequency Gap in Heterogeneous 3D SoCs through Technology-Specific NoC Router Architectures. ASP-DAC Jan Moritz Joseph, Lennart Bamberg, Geonhwa Jeong, Ruei-Ting Chien, Rainer Leupers, Alberto García-Ortiz, Tushar Krishna, Thilo Pionteck
2021	J	`jnl`	Clock Delivery Network Design and Analysis for Interposer-Based 2.5-D Heterogeneous Systems. IEEE Trans. Very Large Scale Integr. Syst. Gauthaman Murali, Heechun Park, Eric Qin, Hakki Mert Torun, Majid Ahadi Dolatsara, Madhavan Swaminathan, Tushar Krishna, Sung Kyu Lim
2021	—	`conf`	DUB: dynamic underclocking and bypassing in nocs for heterogeneous GPU workloads. NOCS Srikant Bharadwaj, Shomit Das, Yasuko Eckert, Mark Oskin, Tushar Krishna
2021	—	`conf`	Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package. ASP-DAC Robert Guirado, Hyoukjun Kwon, Sergi Abadal, Eduard Alarcón, Tushar Krishna
2021	J	`jnl`	Domain-specific Genetic Algorithm for Multi-tenant DNNAccelerator Scheduling. CoRR Sheng-Chun Kao, Tushar Krishna
2021	B	`conf`	E3: A HW/SW Co-design Neuroevolution Platform for Autonomous Learning in Edge Device. ISPASS Sheng-Chun Kao, Tushar Krishna
2021	J	`jnl`	Efficiently Solving Partial Differential Equations in a Partially Reconfigurable Specialized Hardware. IEEE Trans. Computers Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili
2021	A*	`conf`	Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms. ISCA Saeed Rashidi, Matthew Denton, Srinivas Sridharan, Sudarshan Srinivasan, Amoghavarsha Suresh, Jade Nie, Tushar Krishna
2021	J	`jnl`	Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. CoRR Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
2021	J	`jnl`	Exploring Multi-dimensional Hierarchical Network Topologies for Efficient Distributed Training of Trillion Parameter DL Models. CoRR William Won, Saeed Rashidi, Sudarshan Srinivasan, Tushar Krishna
2021	A	`conf`	Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. IPDPS Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
2021	J	`jnl`	Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. CoRR Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
2021	J	`jnl`	Flexion: A Quantitative Metric for Flexibility in DNN Accelerators. IEEE Comput. Archit. Lett. Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2021	A*	`conf`	Heterogeneous Dataflow Accelerators for Multi-DNN Workloads. HPCA Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra
2021	—	`ed.`	NOCS '21: International Symposium on Networks-on-Chip, Virtual Event, October 14-15, 2021 NOCS Tushar Krishna, John Kim, Sergi Abadal, Joshua San Miguel
2021	A*	`conf`	Pitstop: Enabling a Virtual Network Free Network-on-Chip. HPCA Hossein Farrokhbakht, Henry Kao, Kamran Hasan, Paul V. Gratz, Tushar Krishna, Joshua San Miguel, Natalie D. Enright Jerger
2021	A*	`conf`	RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. DAC Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
2021	J	`jnl`	RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. CoRR Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna
2021	A	`conf`	SEEC: stochastic escape express channel. SC Mayank Parasar, Natalie D. Enright Jerger, Paul V. Gratz, Joshua San Miguel, Tushar Krishna
2021	—	`conf`	STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. IISWC Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2021	J	`jnl`	STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators. IEEE Comput. Archit. Lett. Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2021	J	`jnl`	Self-Adaptive Reconfigurable Arrays (SARA): Using ML to Assist Scaling GEMM Acceleration. CoRR Ananda Samajdar, Michael Pellauer, Tushar Krishna
2021	—	`conf`	Technology-aware Router Architectures for On-Chip-Networks in Heterogeneous Technologies. NANOCOM Lennart Bamberg, Tushar Krishna, Jan Moritz Joseph
2021	J	`jnl`	Themis: A Network Bandwidth-Aware Collective Scheduling Policy for Distributed Training of DL Models. CoRR Saeed Rashidi, William Won, Sudarshan Srinivasan, Srinivas Sridharan, Tushar Krishna
2021	B	`conf`	Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. PACT Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
2021	J	`jnl`	Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators. CoRR Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
2020	B	`conf`	A Systematic Methodology for Characterizing Scalability of DNN Accelerators using SCALE-Sim. ISPASS Ananda Samajdar, Jan Moritz Joseph, Yuhao Zhu, Paul N. Whatmough, Matthew Mattina, Tushar Krishna
2020	A*	`conf`	ALRESCHA: A Lightweight Reconfigurable Sparse-Computation Accelerator. HPCA Bahar Asgari, Ramyad Hadidi, Tushar Krishna, Hyesoon Kim, Sudhakar Yalamanchili
2020	B	`conf`	ASTRA-SIM: Enabling SW/HW Co-Design Exploration for Distributed DL Training Platforms. ISPASS Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna
2020	J	`jnl`	Architecture, Chip, and Package Codesign Flow for Interposer-Based 2.5-D Chiplet Integration Enabling Heterogeneous IP Reuse. IEEE Trans. Very Large Scale Integr. Syst. Jinwoo Kim, Gauthaman Murali, Heechun Park, Eric Qin, Hyoukjun Kwon, Venkata Chaitanya Krishna Chekuri, Nael Mizanur Rahman, Nihar Dasari, Arvind Singh, Minah Lee, Hakki Mert Torun, Kallol Roy, Madhavan Swaminathan, Saibal Mukhopadhyay, Tushar Krishna, Sung Kyu Lim
2020	J	`jnl`	Architecture, Dataflow and Physical Design Implications of 3D-ICs for DNN-Accelerators. CoRR Jan Moritz Joseph, Ananda Samajdar, Lingjun Zhu, Rainer Leupers, Sung Kyu Lim, Thilo Pionteck, Tushar Krishna
2020	J	`jnl`	Breaking Barriers: Maximizing Array Utilization for Compute In-Memory Fabrics. CoRR Brian Crafton, Samuel Spetalnick, Gauthaman Murali, Tushar Krishna, Sung Kyu Lim, Arijit Raychowdhury
2020	C	`conf`	Breaking Barriers: Maximizing Array Utilization for Compute in-Memory Fabrics. VLSI-SOC Brian Crafton, Samuel Spetalnick, Gauthaman Murali, Tushar Krishna, Sung Kyu Lim, Arijit Raychowdhury
2020	B	`conf`	CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices. ISPASS Parth Mannan, Ananda Samajdar, Tushar Krishna
2020	J	`jnl`	CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices. CoRR Parth Mannan, Ananda Samajdar, Tushar Krishna
2020	A*	`conf`	Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. DAC Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
2020	J	`jnl`	Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. CoRR Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
2020	J	`jnl`	Conditional Neural Architecture Search. CoRR Sheng-Chun Kao, Arun Ramamurthy, Reed Williams, Tushar Krishna
2020	A*	`conf`	ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning. MICRO Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna
2020	J	`jnl`	ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning. CoRR Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna
2020	A*	`conf`	DRAIN: Deadlock Removal for Arbitrary Irregular Networks. HPCA Mayank Parasar, Hossein Farrokhbakht, Natalie D. Enright Jerger, Paul V. Gratz, Tushar Krishna, Joshua San Miguel
2020	—	`book`	Data Orchestration in Deep Learning Accelerators Tushar Krishna, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Ananda Samajdar
2020	J	`jnl`	Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package. CoRR Robert Guirado, Hyoukjun Kwon, Sergi Abadal, Eduard Alarcón, Tushar Krishna
2020	J	`jnl`	ECOTLB: Eventually Consistent TLBs. ACM Trans. Archit. Code Optim. Steffen Maass, Mohan Kumar Kumar, Taesoo Kim, Tushar Krishna, Abhishek Bhattacharjee
2020	J	`jnl`	Efficient Communication Acceleration for Next-Gen Scale-up Deep Learning Training Platforms. CoRR Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Matthew Denton, Tushar Krishna
2020	A	`conf`	GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm. ICCAD Sheng-Chun Kao, Tushar Krishna
2020	J	`jnl`	Generative Design of Hardware-aware DNNs. CoRR Sheng-Chun Kao, Arun Ramamurthy, Tushar Krishna
2020	A*	`conf`	Kite: A Family of Heterogeneous Interposer Topologies Enabled via Accurate Interconnect Modeling. DAC Srikant Bharadwaj, Jieming Yin, Bradford M. Beckmann, Tushar Krishna
2020	J	`jnl`	MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings. IEEE Micro Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Tushar Krishna, Michael Pellauer, Angshuman Parashar
2020	J	`jnl`	MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators. CoRR Prasanth Chatarasi, Hyoukjun Kwon, Natesh Raina, Saurabh Malik, Vaisakh Haridas, Tushar Krishna, Vivek Sarkar
2020	J	`jnl`	Restructuring, Pruning, and Adjustment of Deep Models for Parallel Distributed Inference. CoRR Afshin Abdi, Saeed Rashidi, Faramarz Fekri, Tushar Krishna
2020	A*	`conf`	SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training. HPCA Eric Qin, Ananda Samajdar, Hyoukjun Kwon, Vineet Nadella, Sudarshan Srinivasan, Dipankar Das, Bharat Kaul, Tushar Krishna
2020	J	`jnl`	STONNE: A Detailed Architectural Simulator for Flexible Neural Network Accelerators. CoRR Francisco Muñoz-Martínez, José L. Abellán, Manuel E. Acacio, Tushar Krishna
2020	—	`conf`	Scalable Distributed Training of Recommendation Models: An ASTRA-SIM + NS3 case-study with TCP/IP transport. Hot Interconnects Saeed Rashidi, Pallavi Shurpali, Srinivas Sridharan, Naader Hassani, Dheevatsa Mudigere, Krishnakumar Nair, Misha Smelyanskiy, Tushar Krishna
2020	—	`conf`	Statistical Array Allocation and Partitioning for Compute In-Memory Fabrics. VLSI-SoC (Selected Papers) Brian Crafton, Samuel Spetalnick, Gauthaman Murali, Tushar Krishna, Sung Kyu Lim, Arijit Raychowdhury
2020	J	`jnl`	The gem5 Simulator: Version 20.0+. CoRR Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram, Mohammad Alian, Rico Amslinger, Matteo Andreozzi, Adrià Armejach, Nils Asmussen, Srikant Bharadwaj, Gabe Black, Gedare Bloom, Bobby R. Bruce, Daniel Rodrigues Carvalho, Jerónimo Castrillón, Lizhong Chen, Nicolas Derumigny, Stephan Diestelhorst, Wendy Elsasser, Marjan Fariborz, Amin Farmahini Farahani, Pouya Fotouhi, Ryan Gambord, Jayneel Gandhi, Dibakar Gope, Thomas Grass, Bagus Hanindhito, Andreas Hansson, Swapnil Haria, Austin Harris, Timothy Hayes, Adrian Herrera, Matthew Horsnell, Syed Ali Raza Jafri, Radhika Jagtap, Hanhwi Jang, Reiley Jeyapaul, Timothy M. Jones, Matthias Jung, Subash Kannoth, Hamidreza Khaleghzadeh, Yuetsu Kodama, Tushar Krishna, Tommaso Marinelli, Christian Menard, Andrea Mondelli, Tiago Mück, Omar Naji, Krishnendra Nathella, Hoa Nguyen, Nikos Nikoleris, Lena E. Olson, Marc S. Orr, Binh Pham, Pablo Prieto, Trivikram Reddy, Alec Roelke, Mahyar Samani, Andreas Sandberg, Javier Setoain, Boris Shingarov, Matthew D. Sinclair, Tuan Ta, Rahul Thakur, Giacomo Travaglini, Michael Upton, Nilay Vaish, Ilias Vougioukas, Zhengrong Wang, Norbert Wehn, Christian Weis, David A. Wood, Hongil Yoon, Éder F. Zulian
2019	—	`conf`	A communication-centric approach for designing flexible DNN accelerators. NoCArc@MICRO Tushar Krishna
2019	A*	`conf`	Architecture, Chip, and Package Co-design Flow for 2.5D IC Design Enabling Heterogeneous IP Reuse. DAC Jinwoo Kim, Gauthaman Murali, Heechun Park, Eric Qin, Hyoukjun Kwon, Venkata Chaitanya Krishna Chekuri, Nihar Dasari, Arvind Singh, Minah Lee, Hakki Mert Torun, Kallol Roy, Madhavan Swaminathan, Saibal Mukhopadhyay, Tushar Krishna, Sung Kyu Lim
2019	—	`conf`	BINDU: deadlock-freedom with one bubble in the network. NOCS Mayank Parasar, Tushar Krishna
2019	—	`conf`	Characterizing the Deployment of Deep Neural Networks on Commercial Edge Devices. IISWC Ramyad Hadidi, Jiashen Cao, Yilun Xie, Bahar Asgari, Tushar Krishna, Hyesoon Kim
2019	J	`jnl`	HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices. CoRR Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra
2019	J	`jnl`	Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization. CoRR Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna
2019	—	`conf`	Reinforcement learning based interconnection routing for adaptive traffic optimization. NOCS Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna
2019	A*	`conf`	SWAP: Synchronized Weaving of Adjacent Packets for Network Deadlock Resolution. MICRO Mayank Parasar, Natalie D. Enright Jerger, Paul V. Gratz, Joshua San Miguel, Tushar Krishna
2019	B	`conf`	Scaling the Cascades: Interconnect-Aware FPGA Implementation of Machine Learning Problems. FPL Ananda Samajdar, Tushar Garg, Tushar Krishna, Nachiket Kapre
2019	J	`jnl`	Synchronized Progress in Interconnection Networks (SPIN): A New Theory for Deadlock Freedom. IEEE Micro Aniruddh Ramrakhyani, Paul V. Gratz, Tushar Krishna
2019	A*	`conf`	Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach. MICRO Hyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna
2019	—	`conf`	Understanding the Impact of On-chip Communication on DNN Accelerator Performance. ICECS Robert Guirado, Hyoukjun Kwon, Eduard Alarcón, Sergi Abadal, Tushar Krishna
2019	J	`jnl`	Understanding the Impact of On-chip Communication on DNN Accelerator Performance. CoRR Robert Guirado, Hyoukjun Kwon, Eduard Alarcón, Sergi Abadal, Tushar Krishna
2019	B	`conf`	mRNA: Enabling Efficient Mapping Space Exploration for a Reconfiguration Neural Accelerator. ISPASS Zhongyuan Zhao, Hyoukjun Kwon, Sachit Kuhar, Weiguang Sheng, Zhigang Mao, Tushar Krishna
2018	J	`jnl`	A Communication-Centric Approach for Designing Flexible DNN Accelerators. IEEE Micro Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna
2018	—	`conf`	Architecting a Secure Wireless Network-on-Chip. NOCS Brian Lebiednik, Sergi Abadal, Hyoukjun Kwon, Tushar Krishna
2018	—	`conf`	Brownian Bubble Router: Enabling Deadlock Freedom via Guaranteed Forward Progress. NOCS Mayank Parasar, Ankit Sinha, Tushar Krishna
2018	A	`conf`	FastTrack: Exploiting Fast FPGA Wiring for Implementing NoC Shortcuts (Abstract Only). FPGA Nachiket Kapre, Tushar Krishna
2018	A*	`conf`	FastTrack: Leveraging Heterogeneous FPGA Wires to Design Low-Cost High-Performance Soft NoCs. ISCA Nachiket Kapre, Tushar Krishna
2018	A*	`conf`	GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware. MICRO Ananda Samajdar, Parth Mannan, Kartikay Garg, Tushar Krishna
2018	J	`jnl`	GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware. CoRR Ananda Samajdar, Parth Mannan, Kartikay Garg, Tushar Krishna
2018	A*	`conf`	LATR: Lazy Translation Coherence. ASPLOS Mohan Kumar, Steffen Maass, Sanidhya Kashyap, Ján Veselý, Zi Yan, Taesoo Kim, Abhishek Bhattacharjee, Tushar Krishna
2018	A*	`conf`	MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects. ASPLOS Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna
2018	J	`jnl`	MAESTRO: An Open-source Infrastructure for Modeling Dataflows within Deep Learning Accelerators. CoRR Hyoukjun Kwon, Michael Pellauer, Tushar Krishna
2018	—	`conf`	Merge Network for a Non-Von Neumann Accumulate Accelerator in a 3D Chip. ICRC Anirudh Jain, Sriseshan Srikanth, Erik P. DeBenedictis, Tushar Krishna
2018	A	`conf`	Optimizing the data placement and transformation for multi-bank CGRA computing system. DATE Zhongyuan Zhao, Yantao Liu, Weiguang Sheng, Tushar Krishna, Qin Wang, Zhigang Mao
2018	B	`conf`	Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube. ISPASS Ramyad Hadidi, Bahar Asgari, Jeffrey S. Young, Burhan Ahmad Mudassar, Kartikay Garg, Tushar Krishna, Hyesoon Kim
2018	J	`jnl`	SCALE-Sim: Systolic CNN Accelerator. CoRR Ananda Samajdar, Yuhao Zhu, Paul N. Whatmough, Matthew Mattina, Tushar Krishna
2018	A*	`conf`	SEESAW: Using Superpages to Improve VIPT Caches. ISCA Mayank Parasar, Abhishek Bhattacharjee, Tushar Krishna
2018	A*	`conf`	Scalable Distributed Last-Level TLBs Using Low-Latency Interconnects. MICRO Srikant Bharadwaj, Guilherme Cox, Tushar Krishna, Abhishek Bhattacharjee
2018	—	`conf`	Spoofing Prevention via RF Power Profiling in Wireless Network-on-Chip. AISTECS@HiPEAC Brian Lebiednik, Sergi Abadal, Hyoukjun Kwon, Tushar Krishna
2018	A*	`conf`	Synchronized Progress in Interconnection Networks (SPIN): A New Theory for Deadlock Freedom. ISCA Aniruddh Ramrakhyani, Paul V. Gratz, Tushar Krishna
2017	A	`conf`	A case for low frequency single cycle multi hop NoCs for energy efficiency and high performance. ICCAD Monodeep Kar, Tushar Krishna
2017	—	`conf`	Adaptive Manycore Architectures for Big Data Computing. NOCS Janardhan Rao Doppa, Ryan Gary Kim, Mihailo Isakov, Michel A. Kinsy, Hyoukjun Kwon, Tushar Krishna
2017	A	`conf`	Automatic place-and-route of emerging LED-driven wires within a monolithically-integrated CMOS-III-V process. DATE Tushar Krishna, Arya Balachandran, Siau Ben Chiah, Li Zhang, Bing Wang, Cong Wang, Kenneth Eng-Kian Lee, Jürgen Michel, Li-Shiuan Peh
2017	J	`jnl`	Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks. IEEE J. Solid State Circuits Yu-Hsin Chen, Tushar Krishna, Joel S. Emer, Vivienne Sze
2017	J	`jnl`	FASHION: Fault-Aware Self-Healing Intelligent On-chip Network. CoRR Pengju Ren, Michel A. Kinsy, Mengjiao Zhu, Shreeya Khadka, Mihailo Isakov, Aniruddh Ramrakhyani, Tushar Krishna, Nanning Zheng
2017	—	`conf`	Lightweight Emulation of Virtual Channels using Swaps. NoCArc@MICRO Mayank Parasar, Tushar Krishna
2017	—	`book`	On-Chip Networks, Second Edition Natalie D. Enright Jerger, Tushar Krishna, Li-Shiuan Peh
2017	B	`conf`	OpenSMART: Single-cycle multi-hop NoC generator in BSV and Chisel. ISPASS Hyoukjun Kwon, Tushar Krishna
2017	J	`jnl`	Performance Implications of NoCs on 3D-Stacked Memories: Insights from the Hybrid Memory Cube. CoRR Ramyad Hadidi, Bahar Asgari, Jeffrey S. Young, Burhan Ahmad Mudassar, Kartikay Garg, Tushar Krishna, Hyesoon Kim
2017	—	`conf`	Rethinking NoCs for Spatial Neural Network Accelerators. NOCS Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna
2017	A*	`conf`	Static Bubble: A Framework for Deadlock-Free Irregular On-chip Topologies. HPCA Aniruddh Ramrakhyani, Tushar Krishna
2017	J	`jnl`	VESPA: VIPT Enhancements for Superpage Accesses. CoRR Mayank Parasar, Abhishek Bhattacharjee, Tushar Krishna
2016	—	`conf`	14.5 Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks. ISSCC Yu-Hsin Chen, Tushar Krishna, Joel S. Emer, Vivienne Sze
2015	J	`jnl`	Efficient Control and Communication Paradigms for Coarse-Grained Spatial Architectures. ACM Trans. Comput. Syst. Michael Pellauer, Angshuman Parashar, Michael Adler, Bushra Ahsan, Randy L. Allmon, Neal Clayton Crago, Kermin Fleming, Mohit Gambhir, Aamer Jaleel, Tushar Krishna, Daniel Lustig, Stephen Maresh, Vladimir Pavlov, Rachid Rayess, Antonia Zhai, Joel S. Emer
2014	—	`—`	Enabling dedicated single-cycle connections over a shared network-on-chip. Tushar Krishna
2014	A*	`conf`	Locality-oblivious cache organization leveraging single-cycle multi-hop NoCs. ASPLOS Woo-Cheol Kwon, Tushar Krishna, Li-Shiuan Peh
2014	—	`conf`	SCORPIO: 36-core shared memory processor demonstrating snoopy coherence on a mesh interconnect. Hot Chips Symposium Chia-Hsin Owen Chen, Sunghyun Park, Suvinay Subramanian, Tushar Krishna, Bhavya K. Daya, Woo-Cheol Kwon, Brett Wilkerson, John Arends, Anantha P. Chandrakasan, Li-Shiuan Peh
2014	A*	`conf`	SCORPIO: A 36-core research chip demonstrating snoopy coherence on a scalable mesh NoC with in-network ordering. ISCA Bhavya K. Daya, Chia-Hsin Owen Chen, Suvinay Subramanian, Woo-Cheol Kwon, Sunghyun Park, Tushar Krishna, Jim Holt, Anantha P. Chandrakasan, Li-Shiuan Peh
2014	—	`conf`	Single-cycle collective communication over a shared network fabric. NOCS Tushar Krishna, Li-Shiuan Peh
2014	J	`jnl`	Smart: Single-Cycle Multihop Traversals over a Shared Network on Chip. IEEE Micro Tushar Krishna, Chia-Hsin Owen Chen, Woo-Cheol Kwon, Li-Shiuan Peh
2013	A*	`conf`	Breaking the on-chip latency barrier using SMART. HPCA Tushar Krishna, Chia-Hsin Owen Chen, Woo-Cheol Kwon, Li-Shiuan Peh
2013	A	`conf`	SMART: a single-cycle reconfigurable NoC for SoC applications. DATE Chia-Hsin Owen Chen, Sunghyun Park, Tushar Krishna, Suvinay Subramanian, Anantha P. Chandrakasan, Li-Shiuan Peh
2013	J	`jnl`	SWIFT: A Low-Power Network-On-Chip Implementing the Token Flow Control Router Architecture With Swing-Reduced Interconnects. IEEE Trans. Very Large Scale Integr. Syst. Jacob Postman, Tushar Krishna, Christopher Edmonds, Li-Shiuan Peh, Patrick Chiang
2013	J	`jnl`	Single-Cycle Multihop Asynchronous Repeated Traversal: A SMART Future for Reconfigurable On-Chip Networks. Computer Tushar Krishna, Chia-Hsin Owen Chen, Sunghyun Park, Woo-Cheol Kwon, Suvinay Subramanian, Anantha P. Chandrakasan, Li-Shiuan Peh
2012	A*	`conf`	Approaching the theoretical limits of a mesh NoC with a 16-node chip prototype in 45nm SOI. DAC Sunghyun Park, Tushar Krishna, Chia-Hsin Owen Chen, Bhavya K. Daya, Anantha P. Chandrakasan, Li-Shiuan Peh
2011	A	`conf`	A low-swing crossbar and link generator for low-power networks-on-chip. ICCAD Chia-Hsin Owen Chen, Sunghyun Park, Tushar Krishna, Li-Shiuan Peh
2011	J	`jnl`	The gem5 simulator. SIGARCH Comput. Archit. News Nathan L. Binkert, Bradford M. Beckmann, Gabriel Black, Steven K. Reinhardt, Ali G. Saidi, Arkaprava Basu, Joel Hestness, Derek Hower, Tushar Krishna, Somayeh Sardashti, Rathijit Sen, Korey Sewell, Muhammad Shoaib Bin Altaf, Nilay Vaish, Mark D. Hill, David A. Wood
2011	A*	`conf`	Towards the ideal on-chip fabric for 1-to-many and many-to-1 communication. MICRO Tushar Krishna, Li-Shiuan Peh, Bradford M. Beckmann, Steven K. Reinhardt
2010	—	`conf`	Physical vs. Virtual Express Topologies with Low-Swing Links for Future Many-Core NoCs. NOCS Chia-Hsin Owen Chen, Niket Agarwal, Tushar Krishna, Kyung-Hoae Koo, Li-Shiuan Peh, Krishna Saraswat
2010	C	`conf`	SWIFT: A SWing-reduced interconnect for a Token-based Network-on-Chip in 90nm CMOS. ICCD Tushar Krishna, Jacob Postman, Christopher Edmonds, Li-Shiuan Peh, Patrick Chiang
2009	J	`jnl`	Express Virtual Channels with Capacitively Driven Global Links. IEEE Micro Tushar Krishna, Amit Kumar, Li-Shiuan Peh, Jacob Postman, Patrick Chiang, Mattan Erez
2009	B	`conf`	GARNET: A detailed on-chip network model inside a full-system simulator. ISPASS Niket Agarwal, Tushar Krishna, Li-Shiuan Peh, Niraj K. Jha
2008	—	`conf`	NoC with Near-Ideal Express Virtual Channels Using Global-Line Communication. Hot Interconnects Tushar Krishna, Amit Kumar, Patrick Chiang, Mattan Erez, Li-Shiuan Peh
2008	A	`conf`	Texture filter memory: a power-efficient and scalable texture memory architecture for mobile graphics processors. ICCAD B. V. N. Silpa, Anjul Patney, Tushar Krishna, Preeti Ranjan Panda, G. S. Visweswaran